In this project, I created a Python script to visualize the weather of 500 randomly sampled cities from across the world of varying distance from the equator.

To accomplish this, I utilized the OpenWeatherMap API, Pandas, and Matplotlib to create and visualize a representative dataset of weather across world cities.

The objective was to build a series of scatter plots to showcase the following relationships:

• Temperature (F) vs. Latitude
• Humidity (%) vs. Latitude
• Cloudiness (%) vs. Latitude
• Wind Speed (mph) vs. Latitude